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Human-curated Python news, projects, articles & tools.

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The Design of Everyday Cryptography

The article explains why cryptographic protocols should be designed to be difficult to misuse, comparing the simplicity of key encapsulation mechanisms (KEMs) with the complexity of modern digital signatures. It proposes designing opinionated, single-purpose, testable, and upgradeable cryptographic interfaces that reduce implementation errors and improve security.

https://www.dlp.rip/everyday-cryptography/
AgriciDaniel / claude-seo

Universal SEO skill for Claude Code. 25 sub-skills + 18 sub-agents covering technical SEO, E-E-A-T, schema, GEO/AEO, backlinks, local SEO, maps intelligence, semantic clustering, e-commerce SEO, international SEO, Google APIs, and PDF/Excel reporting. Optional DataForSEO, Firecrawl, and Banana extensions.

https://github.com/AgriciDaniel/claude-seo
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Your Codebase Is Too Fragile

The video refactors a travel-booking workflow to show how structural coupling, temporal coupling, and connascence can make software fragile. It explains how to identify and reduce these dependencies so future changes are safer and the code is easier to maintain

https://www.youtube.com/watch?v=UEqk0njCuQo
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CheapSecurity

Provides a lightweight, self-hosted CCTV solution designed for Linux-based single-board computers (SBCs) and standard USB webcams

https://github.com/gmrandazzo/CheapSecurity
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Pip 26.2: โ€“only-deps solves 16 years of app deployment hacks

Pip 26.2 is expected to add pip install --only-deps ., allowing developers to install dependencies from pyproject.toml without installing the project itself. The feature resolves a 16-year pain point for deploying Python applications and scripts, replacing brittle requirements files, editable installs, and third-party workarounds.

https://jamesoclaire.com/2026/07/23/pip-26-2-only-deps-solves-16-years-of-app-deployment-hacks/
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AlgebraX - Algebraic Structures in pure Python

AlgebraX is a Python library for generalized algebraic structures, focusing on Semirings and their applications in Graph Theory, Signal Processing, and Physics.

https://github.com/erivlis/algebrax
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Scaling NumPy on Free-Threaded Python

A recap on the work done in NumPy and CPython to make multi-threaded NumPy workloads scale on the free-threaded build of CPython.

https://labs.quansight.org/blog/scaling-numpy-on-free-threaded-python
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MappingTools. Do stuff with Mappings and more.

This library provides utility functions for creating, manipulating, and transforming data structures, which have or include Mapping-like characteristics.

https://erivlis.github.io/mappingtools/
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Self-contained highly-portable Python distributions

https://gregoryszorc.com/docs/python-build-standalone/main/
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